Syntax
object.__mul__(self, other)
The Python __mul__()
method is called to implement the arithmetic multiplication operation *
. For example to evaluate the expression x * y
, Python attempts to call x.__mul__(y)
.
We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder methods with explanation, check out our dunder cheat sheet article on this blog.
Example
In the following example, you create a custom class Data
and overwrite the __mul__()
method so that creates a new Data
object with the value being the product of the values of the two operands a
and b
of type Data
.
class Data: def __init__(self, value): self.value = value def __mul__(self, other): return Data(self.value * other.value) a = Data(21) b = Data(2) c = a * b print(c.value) # 42
You have defined the dunder method so that the resulting product of two Data
objects is a Data
object itself:
print(type(c)) # <class '__main__.Data'>
If you hadn’t defined the __mul__()
method, Python would’ve raised a TypeError
.
How to Resolve TypeError: unsupported operand type(s) for *
Consider the following code snippet where you try to multiply two custom objects without defining the dunder method __mul__()
:
class Data: def __init__(self, value): self.value = value a = Data(21) b = Data(2) c = a * b print(c.value)
Running this leads to the following error message on my computer:
Traceback (most recent call last): File "C:\Users\xcent\Desktop\code.py", line 9, in <module> c = a * b TypeError: unsupported operand type(s) for *: 'Data' and 'Data'
The reason for this error is that the __mul__()
dunder method has never been defined—and it is not defined for a custom object by default. So, to resolve the TypeError: unsupported operand type(s) for *
, you need to provide the __mul__(self, other)
method in your class definition as shown previously:
class Data: def __init__(self, value): self.value = value def __mul__(self, other): return Data(self.value * other.value)
Related Video
Python __mul__ vs __rmul__
Say, you want to multiply two objects x
and y
.
print(x * y)
Python first tries to call the left object’s __mul__()
method x.__mul__(y)
. But this may fail for two reasons:
- The method
x.__mul__()
is not implemented in the first place, or - The method
x.__mul__()
is implemented but returns a NotImplemented value indicating that the data types are incompatible.
If this fails, Python tries to fix it by calling the y.__rmul__()
for reverse multiplication on the right operator y
. If this method is implemented, Python knows that it doesn’t run into a potential problem of a non-commutative operation. If it would just execute y.__mul__(x)
instead of x.__mul__(y)
, it could cause an error if the multiplication is non-commutative. That’s why y.__rmul__(x)
is needed which indicates that multiplication is possible after all.
So, the difference between x.__mul__(y)
and x.__rmul__(y)
is that the former calculates x * y
whereas the latter calculates y * x
— both calling the respective multiplication method defined on object x
.
References:
Where to Go From Here?
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